• Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions • Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes • Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data • Support execution of large-scale projects with limited direction from leadership • Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers • Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines • Support the design, testing, and implementation of process enhancements and identify opportunities for automation • Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products • Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners • Independently engage with customers and business partners to gather requirements and validate results • Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for an experienced Data Analyst to join our team supporting U.S. Citizenship and Immigration Services operations. As a Data Analyst, you will support robust and repeatable data manipulation, analysis, and stunning data visualization using technologies such as SQL, Python, Databricks, and Tableau. - Prepares big data and implements analytics models using SQL and Python within a Databricks data environment. - Works with various types of data to develop, maintain, and enhance reports, analysis, and models. - Responsible for data mining, data preparation, data profiling, and reporting; may lead independently or as part of a team to deliver data or analytic products. - Conducts both qualitative and quantitative service operations research using client data, formulates hypotheses, tests them, and presents the results in a clear and concise manner. - Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed. - Documents and summarizes the results and develops and recommends solutions to the customer’s problems. - Prepares and conducts analyses and studies, needs/gaps assessments. - Uses advanced statistical techniques to identify and measure trends, anomalies, forecast future values, and determine other relevant insights. - Comfortable working in a fast-paced and demanding environment and must exhibit hyper attention to detail. Qualifications - Bachelor’s Degree in a field related to mathematics, economics, data science, statistics, or computer science. - Preferred 3+ years of experience in data analysis using SQL, Python. - Strong SQL skills and ability to identify issues with data. - Experience with Databricks or similar cloud-based distributed database technologies. - Experience with Tableau or PowerBI. - Demonstrated experience with cleaning, management, optimizing performance, and processing large volumes of data. - Ability to successfully engage in multiple initiatives simultaneously and prioritize appropriately. - Ability to gather and interpret large amounts of data and information and quickly recognize what is superfluous and what is relevant using analytical and statistical techniques. - Proficient written, verbal, and client communication and presentation skills. - Must be a United States Citizen and the candidate must be able to clear a Public Trust. - Nice to have prior experience with USCIS or immigration. Requirements - Must be a United States Citizen and the candidate must be able to clear a Public Trust. Benefits - Competitive compensation with opportunities for bonuses. - Employer paid health care. - Training and development funds. - 401k match.

• Looking for former/current systematic traders and quant researchers/analysts • Experts in systematic strategies across equities, equity derivatives and multi-asset • Strong research hygiene: signal research, feature engineering, robust backtesting across horizons • Ability to combine market intuition with statistical learning to create and maintain differentiated proprietary datasets and models • Strong writing and communication skills: able to articulate and defend research views clearly in published insights and in discussions with institutional clients • Offer a high-touch service for select institutional clients

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is pivotal in designing, implementing, and deploying enterprise-level data management, analytics, and AI solutions. You will leverage cutting-edge technologies, including Microsoft Fabric and AI Foundry, to enhance our data capabilities. Expect to work collaboratively across various teams to ensure seamless delivery of robust and compliant solutions. - Design and implement enterprise-scale data management, analytics, and AI capabilities using Microsoft technologies. - Collaborate with teams to define data and AI roadmaps aligning with business objectives. - Develop reference architectures and patterns for data services and AI applications. - Shape data service standards and contribute to project planning and execution. - Provide technical leadership and mentorship to teams. - Coordinate integration with third-party systems and support vendor evaluations. Qualifications - 7+ years of experience in data engineering, analytics engineering, or AI application development. - Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture. - Expertise in Microsoft Fabric and AI Foundry technologies. - Proficiency in SQL, Python, and KQL with experience in performance tuning. - Ability to implement retrieval-augmented generation pipelines and secure data applications. - Excellent communication skills to explain complex technical topics to diverse audiences. Benefits - Competitive salary range of $140,000 to $170,000 annually. - Work remotely with flexible hours. - Opportunities for professional development and training. - Collaborative and innovative work environment. - Access to the latest tools and technologies in the field.